Results 51 to 60 of about 4,160,080 (316)

Fast motion estimation in multi-view video coding

Tongxin xuebao, 2011
To improve the speed of motion estimation in multi-view video coding system,a fast motion estimation algo-rithm based on Markov chain model was proposed.This algorithm established a predicted motion vector set by making full use of the correlation ...
ZHAO Zhi-jie, FAN Zhi-peng, JIN Xue-song, MA Li, NIU Lian-ding   +4 more
doaj   +2 more sources

Joint Motion Estimation and Layer Segmentation in Transparent Image Sequences—Application to Noise Reduction in X-Ray Image Sequences

EURASIP Journal on Advances in Signal Processing, 2009
This paper is concerned with the estimation of the motions and the segmentation of the spatial supports of the different layers involved in transparent X-ray image sequences.
Jean Liénard, Patrick Bouthemy, Vincent Auvray   +2 more
doaj   +1 more source

Partially Separable Aspects of Spatial and Temporal Estimations in Virtual Navigation as Revealed by Adaptation

i-Perception, 2022
Recent studies claim that estimating the magnitude of the spatial and temporal aspects of one's self-motion shows similar characteristics, suggesting shared processing mechanisms between these two dimensions.
Taku Otsuka, Yuko Yotsumoto
doaj   +1 more source

Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking

IEEE Access, 2023
The problem of multi-object tracking (MOT) in the real world poses several challenging tasks, such as similar appearance, occlusion, and extreme articulation motion.
Hyunseop Kim, Hyo-Jun Lee, Hanul Kim, Seong-Gyun Jeong, Yeong Jun Koh   +4 more
doaj   +1 more source

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation [PDF]

, 2014
In this work, we propose a novel and efficient method for articulated human pose estimation in videos using a convolutional network architecture, which incorporates both color and motion features.
Bregler, Christoph, Jain, Arjun, LeCun, Yann, Tompson, Jonathan   +3 more
core   +1 more source

Robust Motion Estimation Design Methodology [PDF]

2010 Conference on Visual Media Production, 2010
For motion-adaptive video retiming methods, the quest to lower the implementation complexity and improve the quality of motion estimation algorithms still continues. Comparing different motion estimators (MEs) and/or fine-tuning ME parameters is a time-consuming task, and it is even more demanding to identify the MEs with a robust performance among all
Heinrich, A., Bartels, C.L.L., Vleuten, van der, R.J., Haan, de, G.   +3 more
openaire   +1 more source

Semi-hierarchical based motion estimation algorithm for the dirac video encoder [PDF]

, 2008
Having fast and efficient motion estimation is crucial in today’s advance video compression technique since it determines the compression efficiency and the complexity of a video encoder.
Cosmas, J, Loo, KK, Tun, M
core  

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

Pediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard, Anni Young Lundgaard, Laura Ann Rechner, Danijela Dejanovic, Hanne Krogh Rose, Jolanta Hansen, Leila Vaalavirta, Miia Mokka, Marianne Aznar, Peder Skov Wehner, Lisa Lyngsie Hjalgrim, Maja Vestmø Maraldo   +11 more
wiley   +1 more source

Motion Velocity, Acceleration and Energy Expenditure Estimation Using Micro Flow Sensor

IEEE Access, 2019
Motion velocity, acceleration, and energy expenditure estimations are important in quantitative assessments for physical recovery and exercise-based interventions for post-stroke patients with partial losses of neurological functions. This paper proposes
Junchang Zhang, Shiqiang Liu, Rong Zhu
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source